# Ran Meng

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/ran-meng/

## Facts

| Field | Value |
| --- | --- |
| Citations | 2,339 |
| Field | Remote Sensing in Agriculture |
| h-index | 27 |
| i10-index | 37 |
| Last Known Institution | Harbin Engineering University |
| OpenAlex ID | https://openalex.org/A5081480445 |
| ORCID iD | 0000-0003-4756-9934 |
| Works | 77 |

## Researcher papers

- [Hyperspectral remote sensing of fire: State-of-the-art and future perspectives](https://scholariq.org/papers/hyperspectral-remote-sensing-of-fire-state-of-the-art-and-future-perspectives/)
- [Effects of fire severity and post-fire climate on short-term vegetation recovery of mixed-conifer and red fir forests in the Sierra Nevada Mountains of California](https://scholariq.org/papers/effects-of-fire-severity-and-post-fire-climate-on-short-term-vegetation-recovery/)
- [From the Arctic to the tropics: multibiome prediction of leaf mass per area using leaf reflectance](https://scholariq.org/papers/from-the-arctic-to-the-tropics-multibiome-prediction-of-leaf-mass-per-area-using/)
- [Using high spatial resolution satellite imagery to map forest burn severity across spatial scales in a Pine Barrens ecosystem](https://scholariq.org/papers/using-high-spatial-resolution-satellite-imagery-to-map-forest-burn-severity/)
- [Annual 30-m land use/land cover maps of China for 1980–2015 from the integration of AVHRR, MODIS and Landsat data using the BFAST algorithm](https://scholariq.org/papers/annual-30-m-land-use-land-cover-maps-of-china-for-1980-2015-from-the-integration/)
- [Measuring short-term post-fire forest recovery across a burn severity gradient in a mixed pine-oak forest using multi-sensor remote sensing techniques](https://scholariq.org/papers/measuring-short-term-post-fire-forest-recovery-across-a-burn-severity-gradient/)
- [Biological processes dominate seasonality of remotely sensed canopy greenness in an Amazon evergreen forest](https://scholariq.org/papers/biological-processes-dominate-seasonality-of-remotely-sensed-canopy-greenness-in/)
- [Monthly mapping of forest harvesting using dense time series Sentinel-1 SAR imagery and deep learning](https://scholariq.org/papers/monthly-mapping-of-forest-harvesting-using-dense-time-series-sentinel-1-sar/)
- [Mapping field-scale soil organic carbon with unmanned aircraft system-acquired time series multispectral images](https://scholariq.org/papers/mapping-field-scale-soil-organic-carbon-with-unmanned-aircraft-system-acquired/)
- [Mapping canopy defoliation by herbivorous insects at the individual tree level using bi-temporal airborne imaging spectroscopy and LiDAR measurements](https://scholariq.org/papers/mapping-canopy-defoliation-by-herbivorous-insects-at-the-individual-tree-level/)
- [Improved monitoring of southern corn rust using UAV-based multi-view imagery and an attention-based deep learning method](https://scholariq.org/papers/improved-monitoring-of-southern-corn-rust-using-uav-based-multi-view-imagery-and/)

## Researcher topics

- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)
- [Remote Sensing and LiDAR Applications](https://scholariq.org/topics/remote-sensing-and-lidar-applications/)
- [Fire effects on ecosystems](https://scholariq.org/topics/fire-effects-on-ecosystems/)
- [Land Use and Ecosystem Services](https://scholariq.org/topics/land-use-and-ecosystem-services/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)

## Researcher university

- [Harbin Engineering University](https://scholariq.org/institutions/harbin-engineering-university/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.